autogan (0.0.5), deepctr (0.3.3) +8 more potentially affected by CVE-2022-29205 via tensorflow (1.12.3)

tensorflow PYPI version 1.12.3 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - autogan 0.0.5 - deepctr 0.3.3 - opveclib 1.0.0 - polyaxon-lib =0.0.3, =0.14.0a5, =0.13.0, =1.0.1, =1.9.1, =0.1.0, =0.3.1 Source cves:...

abba-python (>=0.1.6, <=0.3.0), adversal-embedding (>=0.0.1, <=0.0.7) +52 more potentially affected by CVE-2022-29205 via tensorflow (1.15.0)

tensorflow PYPI version 1.15.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - abba-python =0.1.6, =0.0.1, =0.2.6, =2023.1.0, =0.2.11, =0.0.4, =0.10.0, =0.10.1 - deepaclive 0.1.0 and more Source cves: CVE-2022-29205...

axelerate (>=0.5.2, <=0.5.5), bert-experimental (1.0.0) +24 more potentially affected by CVE-2022-29205 via tensorflow (1.15.2)

tensorflow PYPI version 1.15.2 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - axelerate =0.5.2, =2.0.1, =1.0.1, =0.1.0.dev1, =1.5.0.dev20210429, =1.5.0.dev20210512 - fedlearner-manylinux 1.5.0.dev20210429 -...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), medaka-cpu (1.5.0) +4 more potentially affected by CVE-2022-29205 via tensorflow-cpu (>=2.1.0, <=2.5.3)

tensorflow-cpu PYPI version =2.1.0, =0.1.0.dev1, =0.5.1, =0.102.0.dev0, =1.5.2, =1.7.4 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3274...

aadhaar-detection (0.5.0), accuinsight (>=1.0.84, <=1.0.87) +34 more potentially affected by CVE-2022-29205 via tensorflow (>=2.7.0, <=2.7.1)

tensorflow PYPI version =2.7.0, =1.0.84, =3.0.22, =0.1.11, =0.1.11, =0.1.11, =0.1.0, =0.0.1, =1.2.1, =0.1.5.dev202303131412, =0.1.0, =0.1.1 and more Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

asc (>=0.1.0, <=0.3.1), openats (>=0.0.0.dev1, <=0.0.0.dev37) potentially affected by CVE-2022-29205 via tensorflow (1.2.1)

tensorflow PYPI version 1.2.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - asc =0.1.0, =0.0.0.dev1, =0.0.0.dev37 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

keras-pandas (>=1.1.2, <=2.0.1), learna-tools (0.1.0) potentially affected by CVE-2022-29205 via tensorflow (1.4.0)

tensorflow PYPI version 1.4.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - keras-pandas =1.1.2, =2.0.1 - learna-tools 0.1.0 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

PYSEC-2026-3274 Segfault due to missing support for quantized types

Impact There is a potential for segfault / denial of service in TensorFlow by calling tf.compat.v1. ops which don't yet have support for quantized types added after migration to TF 2.x: python import numpy as np import tensorflow as tf...

hyperparameter-hunter (>=0.0.1, <=1.0.1), malaya (>=0.6.0.2, <=0.6.4) +2 more potentially affected by CVE-2022-29205 via tensorflow (1.5.0)

tensorflow PYPI version 1.5.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - hyperparameter-hunter =0.0.1, =0.6.0.2, =1.3.6, =1.3.7 - talos 0.6.4 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

cde (>=0.1.0, <=0.2.0.1), nerlogparser (0.0.1) +1 more potentially affected by CVE-2022-29205 via tensorflow (1.4.1)

tensorflow PYPI version 1.4.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - cde =0.1.0, =0.1.7, =0.3.2 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

easyfacenet (>=1.0.4, <=1.0.5), keras-pandas (>=1.1.0, <=1.1.1) +3 more potentially affected by CVE-2022-29205 via tensorflow (1.7.0)

tensorflow PYPI version 1.7.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - easyfacenet =1.0.4, =1.1.0, =0.1.1, =0.1.2, =0.0.0, =0.0.1 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-29205 via tensorflow (1.2.0)

tensorflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - sklearn-plus =0.0.3, =0.0.4 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

accuinsight (1.0.1), aimodelshare (0.1.52) +83 more potentially affected by CVE-2022-29205 via tensorflow (1.13.1)

tensorflow PYPI version 1.13.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - accuinsight 1.0.1 - aimodelshare 0.1.52 - amber-automl =0.1.0, =19.3.0, =1.0.1, =1.1.0, =0.0.1, =0.3.4, =0.1.0, =0.0.1, =0.0.0.45.8, =1.1.1...

program-synthesis (0.1.2), qfragment (0.0.16) potentially affected by CVE-2022-29205 via tensorflow (1.5.1)

tensorflow PYPI version 1.5.1 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - program-synthesis 0.1.2 - qfragment 0.0.16 Source cves: CVE-2022-29205 Source advisory: OSV:PYSEC-2026-3104...

azureml-contrib-brainwave (0.1.68.2), azureml-train-automl (>=0.1.68, <=0.1.80) +5 more potentially affected by CVE-2022-29205 via tensorflow (1.10.0)

tensorflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - azureml-contrib-brainwave 0.1.68.2 - azureml-train-automl =0.1.68, =2.0.3, =0.11.9, =0.13.0a5 - scaden 0.9.0 Source cves: CVE-2022-29205...

sklearn-plus (>=0.0.3, <=0.0.4) potentially affected by CVE-2022-29203 via tensorflow (1.2.0)

tensorflow PYPI version 1.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - sklearn-plus =0.0.3, =0.0.4 Source cves: CVE-2022-29203 Source advisory: OSV:PYSEC-2026-3207...

branchedgp (1.0.0), fate-client (>=0.1.0, <=1.5.3) +9 more potentially affected by CVE-2022-29202 via tensorflow (1.15.4)

tensorflow PYPI version 1.15.4 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - branchedgp 1.0.0 - fate-client =0.1.0, =0.2.2, =0.2.0, =0.2.4, =0.0.5.dev0, =1.5.0, =0.1.6, =0.2.4 Source cves: CVE-2022-29202 Source...

fancy-nlp (>=0.0.1, <=0.0.4), nyoka (>=1.0.0, <=1.5.4) +3 more potentially affected by CVE-2022-29201 via tensorflow (1.9.0)

tensorflow PYPI version 1.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow and may be impacted: - fancy-nlp =0.0.1, =1.0.0, =0.11.0, =0.5.4, =0.5.7 Source cves: CVE-2022-29201 Source advisory: OSV:PYSEC-2026-3224...

PYSEC-2026-3312 Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

c4v-py (>=0.1.0.dev1, <=0.1.0.dev202107081840), medaka-cpu (1.5.0) +4 more potentially affected by CVE-2022-29202 via tensorflow-cpu (>=2.1.0, <=2.5.3)

tensorflow-cpu PYPI version =2.1.0, =0.1.0.dev1, =0.5.1, =0.102.0.dev0, =1.5.2, =1.7.4 Source cves: CVE-2022-29202 Source advisory: OSV:PYSEC-2026-3312...